C++ for Machine Learning A Comprehensive Programming Guide

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C++ for Machine Learning: A Comprehensive Programming Guide by Hayden Van Der Post, Reactive Publishing, Alice Schwartz
English | March 28, 2025 | ASIN: B0F2XD8LMN | 590 pages | EPUB | 0.54 Mb
C++ for Machine Learning

Build Lightning-Fast AI Systems with the Power of Native Code
Discover the full potential of artificial intelligence by harnessing the speed, precision, and control of C++. While most machine learning resources stop at Python, this groundbreaking guide goes deeper-showing you how to build high-performance ML models and systems from the ground up using one of the world's fastest programming languages.
Designed for engineers, researchers, and developers ready to break out of the limitations of interpreted languages, this book covers:Core ML concepts implemented directly in C++Efficient data structures, matrix operations, and memory managementBuilding neural networks without relying on heavy librariesIntegrating C++ with CUDA and OpenCL for GPU accelerationBridging C++ with Python for hybrid workflowsDeployment strategies for production-grade AI applicationsWhether you're optimizing inference times, developing edge AI solutions, or building custom learning algorithms, C++ for Machine Learning gives you the toolkit to own the entire stack-from data to decision.
This isn't another beginner's ML book. It's a weapon for those ready to go beyond the black box-and build AI systems that are fast, powerful, and deeply yours.

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